Machine Learning Engineer Salary at Perfomatix BETA

Since 2010 and almost 14 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this jo

At USEReady, We empower people to succeed with data. USEReady is a data and analytics firm that provides the strategies, tools, capability and capacity that businesses need to turn their data into a competitive advantage. USEReady partners with cloud and data ecosystem leaders like Tableau, Salesforce, Snowflake and Amazon Web Services, and has been named Tableau partner of the year multiple times. Headquartered in NYC, the company has 600+ employees across offices in the U.S., Canada, Singapore and India and specializes in financial services. USEReady’s deep analytics expertise, unique player/coach approach and focus on fast results makes the company a perfect partner for a cloud-first, digital world. Job Title: Machine Learning Engineer / Data Scientist – AI/ML Location: Alpharetta, GA(In-Person interview must) Job Type: Long term Contract/FTE Job Description: We are seeking a highly skilled and motivated Machine Learning Engineer/Data Scientist with expertise in data science, machin

About the job Machine Learning Engineer We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring. You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences. What You'll Do: Empower our team of data scientists to rapidly develop and deploy ML solutions. Leverage so

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand with heart at its center our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. **Position Summary** The Clinical AI team is tasked with activating CVS Healths clinical data to improve outcomes across multiple lines of business and use cases. As a Lead Data Scientist, you will + be a subject matter expert in clinical data and how to apply it to solve health care problems. + desig

Aufgaben About Us Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks Department Overview The Data & Technology Team at MBUSA plays a pivotal role in harnessing and analyzing vast amounts of data to derive valuable insights. Leveraging cutting-edge technologies and methodologies, this department focuses on interpreting complex datasets to enhance decision-making processes across various aspects of the Mercedes-Benz ecosystem using machine learning and AI. From optimizing sales processes to improving customer experiences, the team utilizes advanced analytics and data-driven strategies to drive innovation, efficiency, and overall business excellence within the company Job O

ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey , Georgia, California, Oregon, Canada and Scotland. Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE ROSTER At

Description Are you a top AI/ML expert and looking to contribute to the revolution of building smart systems and software with generative AI? Do you want to keep expanding your expertise by working with newest AI concepts and tools? Are you motivated by seeing your inventions have high business and customer impact? AWS Field Experiences (AFX) team is looking for you! As an Applied Scientist at AFX, you will be at the forefront of inventing AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. Drawing your knowledge of large language models and other deep learning architectures, you'll develop novel approaches to automate and enhance complex sales workflows. You will work with a team of passionate scientists and machine learning engineers to design, develop, and improve generative AI and traditional ML models. You will collaborate with multiple product and software engineering teams on building those models into live software products a

Description Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customers business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-wo